Metric Spaces
Comprehensive module covering 5 sections in Functional Analysis.
REPOSITORY
BMLABS MATHEMATICS REPOSITORY
mathematics.bmlabs.co.in
Author
Dr. Bivash Majumder
Assistant Professor in Mathematics
Prabhat Kumar College, Contai
Functional Analysis · Metric Spaces
Compactness in Discrete and Euclidean Spaces for metric spaces with definitions, theorem proofs, examples, exercises, answers, and BMLabs compactness notes.
Understand the central mathematical ideas of Compactness in Discrete and Euclidean Spaces.
Interpret the principal results and their mathematical conditions.
Follow and justify the main proof strategy step by step.
Practise the concept independently and verify the result.
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Definitions establish the language; results explain the structure; examples prepare you to solve.
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4 concepts
5 guided steps
4 stages
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Definitions
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Theorems
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Lemmas
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Corollaries
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Proofs
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Examples
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Exercises
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Lesson profile
theorem
In a discrete metric space, a subset is compact if and only if it is finite.
theorem
A subset of is compact if and only if it is closed and bounded.
corollary
Under any standard equivalent Euclidean metric, compactness in is the same as closedness and boundedness.
introductory
Interactive concept atlas
12 concepts · 15 relationships · auto mode
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Compactness in Discrete and Euclidean Spaces Concept Map. 12 concepts.
Practice
2 practice items
Having moved through the preceding compactness ideas, we now study compactness in discrete and Euclidean spaces. The focus keyword for this lesson is compactness in discrete and Euclidean spaces. This page records the definitions, theorems, proofs, examples, and practice items needed for undergraduate work in compactness and its consequences in metric spaces.
In a discrete metric space, a subset is compact if and only if it is finite.
Given that the metric is discrete. To prove the criterion. Finite sets are compact. Conversely, the singleton cover of a compact subset has a finite subcover, so the subset must be finite.
A subset of is compact if and only if it is closed and bounded.
Given that . To prove Heine-Borel. Compact subsets are closed and bounded. Conversely, a closed bounded set lies in a compact cube and is closed inside that cube. Hence it is compact.
Under any standard equivalent Euclidean metric, compactness in is the same as closedness and boundedness.
[1] State the main definition or theorem from this lesson. [2] Give one example where the hypothesis is used. [3] Explain one common mistake related to this topic.
[1] See the first formal block of the lesson. [2] The examples in the lesson provide standard choices. [3] A common mistake is to apply a Euclidean compactness rule in an arbitrary metric space.
Questions to consolidate
Continue learning
Review the definitions, proofs, and examples before moving to the next compactness idea.